期刊
MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY
卷 459, 期 2, 页码 1293-1309出版社
OXFORD UNIV PRESS
DOI: 10.1093/mnras/stw721
关键词
methods: statistical; galaxies: distances and redshifts; large-scale structure of Universe
资金
- US Department of Energy [DE-SC0009932]
- Spanish Ministry of Economy and Competitiveness (MINECO) [FPA2013-47986-C3-2-P]
- National Science Foundation [AST-1313415, OCI-1053575, AST-1138766]
- Center for Advanced Studies at the University of Illinois
- US Department of Energy
- US National Science Foundation
- Ministry of Science and Education of Spain
- Science and Technology Facilities Council of the UK
- Higher Education Funding Council for England
- National Center for Supercomputing Applications at the University of Illinois at Urbana-Champaign
- Kavli Institute of Cosmological Physics at the University of Chicago
- Center for Cosmology and Astro-Particle Physics at the Ohio State University
- Mitchell Institute for Fundamental Physics and Astronomy at Texas AM University
- Financiadora de Estudos e Projetos
- Fundacao Carlos Chagas Filho de Amparo a Pesquisa do Estado do Rio de Janeiro
- Conselho Nacional de Desenvolvimento Cientifico e Tecnologico
- Ministerio da Ciencia, Tecnologia e Inovacao
- Deutsche Forschungsgemeinschaft
- Dark Energy Survey
- Argonne National Laboratory
- University of California at Santa Cruz
- University of Cambridge
- Centro de Investigaciones Energeticas, Medioambientales y Tecnologicas-Madrid
- University of Chicago
- University College London
- DES-Brazil Consortium
- University of Edinburgh
- Eidgenossische Technische Hochschule (ETH) Zurich
- Fermi National Accelerator Laboratory
- University of Illinois at Urbana-Champaign
- Institut de Ciencies de l'Espai (IEEC/CSIC)
- Institut de Fisica d'Altes Energies
- Lawrence Berkeley National Laboratory
- Ludwig-Maximilians Universitat Munchen
- associated Excellence Cluster Universe
- University of Michigan
- National Optical Astronomy Observatory
- University of Nottingham
- Ohio State University
- University of Pennsylvania
- University of Portsmouth
- SLAC National Accelerator Laboratory
- Stanford University
- University of Sussex
- Texas AM University
- MINECO [AYA2012-39559, ESP2013-48274, FPA2013-47986]
- Centro de Excelencia Severo Ochoa [SEV-2012-0234]
- European Research Council under the European Unions, ERC [240672, 291329, 306478]
- European Research Council (ERC) [291329, 306478, 240672] Funding Source: European Research Council (ERC)
- Direct For Mathematical & Physical Scien
- Division Of Astronomical Sciences [1313415] Funding Source: National Science Foundation
Photometric surveys produce large-area maps of the galaxy distribution, but with less accurate redshift information than is obtained from spectroscopic methods. Modern photometric redshift (photo-z) algorithms use galaxy magnitudes, or colours, that are obtained through multiband imaging to produce a probability density function (PDF) for each galaxy in the map. We used simulated data to study the effect of using different photo-z estimators to assign galaxies to redshift bins in order to compare their effects on angular clustering and galaxy bias measurements. We found that if we use the entire PDF, rather than a single-point (mean or mode) estimate, the deviations are less biased, especially when using narrow redshift bins. When the redshift bin widths are Delta z = 0.1, the use of the entire PDF reduces the typical measurement bias from 5 per cent, when using single point estimates, to 3 per cent.
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